Index A | C | F | G | L | M | P | R | S | T | W | Y A accuracy (artificial_dataset.ClassifierMetrics property) amplitude_range (artificial_dataset.SpikeParams attribute) AnomalyDataset (class in artificial_dataset) AnomalySplits (class in artificial_dataset) artificial_dataset module C ClassifierMetrics (class in artificial_dataset) compose() (in module artificial_dataset) confusion_matrix (artificial_dataset.ClassifierMetrics property) count_range (artificial_dataset.SpikeParams attribute) F f1_score (artificial_dataset.ClassifierMetrics property) from_anomaly_indices() (artificial_dataset.ClassifierMetrics class method) G gaussian_noise() (in module artificial_dataset) L labels (artificial_dataset.AnomalyDataset attribute) linear() (in module artificial_dataset) M make_anomaly_dataset() (in module artificial_dataset) make_classification() (in module artificial_dataset) margin (artificial_dataset.SpikeParams attribute) module artificial_dataset P peak_indices (artificial_dataset.AnomalyDataset attribute) polynomial() (in module artificial_dataset) precision (artificial_dataset.ClassifierMetrics property) R recall (artificial_dataset.ClassifierMetrics property) S sinusoidal() (in module artificial_dataset) SpikeParams (class in artificial_dataset) split() (artificial_dataset.AnomalyDataset method) T t (artificial_dataset.AnomalyDataset attribute) W width_range (artificial_dataset.SpikeParams attribute) Y y (artificial_dataset.AnomalyDataset attribute)